Variable time-step: A method for improving computational tractability for energy system models with long-term storage-Reference-Cited by-同舟云学术

Variable time-step: A method for improving computational tractability for energy system models with long-term storage

Published:2020-12 Issue: Volume:213 Page:119024
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

de Guibert Paul,Shirizadeh Behrang,Quirion Philippe

Funder

Total

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference35 articles.

1. Response to ‘Burden of proof: a comprehensive review of the feasibility of 100% renewable-electricity systems’;Brown;Renew Sustain Energy Rev,2018

2. Impacts of inter-annual wind and solar variations on the European power system;Collins;Joule,2018

3. Designing low-carbon power systems for Great Britain in 2050 that are robust to the spatiotemporal and inter-annual variability of weather;Zeyringer;Nature Energy,2018

4. Long-run power storage requirements for high shares of renewables: results and sensitivities;Schill;Renew Sustain Energy Rev,2018

5. Dealing with multiple decades of hourly wind and PV time series in energy models: a comparison of methods to reduce time resolution and the planning implications of inter-annual variability;Pfenninger;Appl Energy,2017

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy storage solutions to decarbonize electricity through enhanced capacity expansion modelling;Nature Energy;2023-09-14

2. Diurnal, physics-based strategy for computationally efficient capacity-expansion optimizations for solar-dominated grids;Energy;2023-09

3. Reducing climate risk in energy system planning: A posteriori time series aggregation for models with storage;Applied Energy;2023-03

4. Model-based run-time and memory reduction for a mixed-use multi-energy system model with high spatial resolution;Applied Energy;2023-03

5. Long-Term Generation Expansion Planning Model Based on Intraday and Interday Renewable Energy Uncertainty Sets;2023